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A novel curvelet-based sub-band selection approach for medical image fusion is presented in this paper using the Parameterized Logarithmic Image Processing (PLIP) model. Both MRA and MRI image have different features, in this paper we use the different frequency band selection fusion rules yield novel fusion schemes for combining the coefficients, and fused MRA and MRI images to form a single image with as much information as possible. The experiments show that the proposed method is effective and can get satisfactory fusion results.

Medical Images Fusion Based on Different Frequency band Selection Schemes